Course Details
Subject {L-T-P / C} : BM4704 : Soft computing Laboratory { 0-0-2 / 1}
Subject Nature : Practical
Coordinator : Mirza Khalid Baig
Syllabus
Module 1 : |
List of experiments:
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Course Objective
1 . |
To understand basic concepts related to deep neural networks. |
2 . |
To develop skills for using deep neural networks for healthcare applications. |
3 . |
To gain understanding of state-of-the-art tools and new architectures currently being used in deep neural networks. |
Course Outcome
1 . |
After the completion of this course, the student will be able to:
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Essential Reading
1 . |
Ian Goodfellow, Yoshua Bengio and Aaron Courville, Deep Learning, The MIT Press, Cambridge Massacheusetts |
2 . |
Francois Chollet, Deep Learning with Python, Manning |
Supplementary Reading
1 . |
Aurelien Geron, Hands-On Machine Learning with Sci-kit Learn, Keras and Tensorflow, O'Reilly |